Sleep is a biological phenomenon with highly conserved evolutionary characteristics.The American Academy of Sleep Medicine and the Sleep Research Society recommend that adults get at least 7 hours of sleep per night[1...Sleep is a biological phenomenon with highly conserved evolutionary characteristics.The American Academy of Sleep Medicine and the Sleep Research Society recommend that adults get at least 7 hours of sleep per night[1].However,the stress caused by fast-paced life often leads to sleep deprivation(SD).SD is strongly associated with damage to the auditory system[2,3].Obstructive sleep apnea-hypopnea syndrome(OSAHS)is a common sleep disorder.Clinical observations indicate that some patients with OSAHS experience persistent hearing loss accompanied by tinnitus and other symptoms[4].More than 61.8%of patients with sudden deafness experienced SD[5].展开更多
Korla fragrant pears are one of the“famous,excellent,and special”fruits in Xinjiang.They belong to the white pear variety in the genus Pyrus of the Rosaceae family.With a long-standing planting history and strong re...Korla fragrant pears are one of the“famous,excellent,and special”fruits in Xinjiang.They belong to the white pear variety in the genus Pyrus of the Rosaceae family.With a long-standing planting history and strong regional characteristics,they are mainly produced in southern Xinjiang.Due to unique natural conditions such as large temperature differences between day and night and sufficient sunlight,Korla fragrant pears have a crispy texture,a sweet but not cloying taste,and their flesh is delicate and juicy,with excellent quality.Korla fragrant pears contain a variety of bioactive substances,mainly including polysaccharides,polyphenolic compounds,flavonoid compounds,triterpenoids,and sterols.They have medical effects such as“moistening the lungs,calming the heart,reducing phlegm,anti-inflammation,relieving cough,and resolving carbuncle toxins”.Uyghur and Mongolian medicine often use them as a good dietary therapy product.Based on recent literature reports,this paper reviews the main chemical constituents and pharmacological effects of Korla fragrant pears,aiming to provide references for the research and utilization of the deep processing of Korla fragrant pears.展开更多
Pear paste is a traditional preparation with both medicinal and nutritional functions.The“pear”,as its core ingredient,plays a crucial role in the efficacy of the preparation.This paper,through the interdisciplinary...Pear paste is a traditional preparation with both medicinal and nutritional functions.The“pear”,as its core ingredient,plays a crucial role in the efficacy of the preparation.This paper,through the interdisciplinary integration of evidence from traditional Chinese medicine,food chemistry,molecular biology,and clinical medicine,constructs a complete“raw material-component transformation-biological regulation”model for the first time.It is found that in pear paste,pears not only serve as a functional matrix.The polysaccharide-polyphenol-triterpene complex system forms a multi-target cough-relieving and anti-inflammatory network through dual regulation of TRPV1/TRPA1 ion channels,inhibition of the NLRP3 inflammasome,and metabolites of gut microbiota such as SCFAs.The research results provide a theoretical breakthrough for the modern development of pear paste and a scientific basis for the modernization of traditional preparations.展开更多
In order to better implement the“Three-Dimensional Education”and cultivate high-quality nursing talents,the integration of ideological and political education into the pathogen biology curriculum promotes curriculum...In order to better implement the“Three-Dimensional Education”and cultivate high-quality nursing talents,the integration of ideological and political education into the pathogen biology curriculum promotes curriculum reform and application.This article explores the use of various teaching methods and means in the teaching process of pathogen biology under the guidance of ideological and political education,aiming to stimulate students’learning interest,cultivate their autonomous learning ability,independent thinking,problem-analyzing and problem-solving abilities,and thus improve their comprehensive qualities and medical professional literacy.展开更多
Aqueous Zn-N_(2)batteries with unique configuration are of potential for simultaneous N_(2)electro reduction and electricity generation,in which the electrocatalysts are critical for improving the NH_(3)yield and the ...Aqueous Zn-N_(2)batteries with unique configuration are of potential for simultaneous N_(2)electro reduction and electricity generation,in which the electrocatalysts are critical for improving the NH_(3)yield and the energy efficiency.Herein,a heterostructure Nb_(2)O_(5)/Nb_(2)CT_(x)with abundant exposed Nb active sites and tuned electron density has been synthesized by in situ formation and anchoring of Nb_(2)O_(5) nanoparticles on the surface of Nb_(2)CT_(x)MXene,which shows an enhanced N_(2)adsorption/activation capacity.The heterostructure Nb_(2)O_(5/)Nb_(2)CT_(x)was used as the cathode of Zn-N_(2)battery that can deliver a peak power density of 1.25 mW cm^(-2)in 1.0 M KOH and can continuously produce NH_(3)with a yield of3.62μg h^(-1)mg_(ca)^(t-1).The NH_(3)formed in the battery system can be easily collected as a net product without circulating the electrolyte.Moreover,the Nb_(2)O_(5/)Nb_(2)CT_(x)has a long durability,evidenced by 70 h of operation at-0.4 V vs.reversible hydrogen electrode,which is the highest among the MXene-based electrocatalysts reported thus far.This work may provide a new methodology based on Zn-N_(2)battery for sustainable and large-scale NH_(3)production with minimal energy consumption.展开更多
Renewable energy driven N_(2) electroreduction with air as nitrogen source holds great promise for realizing scalable green ammonia production.However,relevant out-lab research is still in its infancy.Herein,a novel S...Renewable energy driven N_(2) electroreduction with air as nitrogen source holds great promise for realizing scalable green ammonia production.However,relevant out-lab research is still in its infancy.Herein,a novel Sn-based MXene/MAX hybrid with abundant Sn vacancies,Sn@Ti_(2)CTX/Ti_(2)SnC–V,was synthesized by controlled etching Sn@Ti_(2)SnC MAX phase and demonstrated as an efficient electrocatalyst for electrocatalytic N2 reduction.Due to the synergistic effect of MXene/MAX heterostructure,the existence of Sn vacancies and the highly dispersed Sn active sites,the obtained Sn@Ti2CTX/Ti_(2)SnC–V exhibits an optimal NH_(3) yield of 28.4μg h^(−1) mg_(cat)^(−1) with an excellent FE of 15.57% at−0.4 V versus reversible hydrogen electrode in 0.1 M Na_(2)SO_(4),as well as an ultra-long durability.Noticeably,this catalyst represents a satisfactory NH3 yield rate of 10.53μg h^(−1) mg^(−1) in the home-made simulation device,where commercial electrochemical photovoltaic cell was employed as power source,air and ultrapure water as feed stock.The as-proposed strategy represents great potential toward ammonia production in terms of financial cost according to the systematic technical economic analysis.This work is of significance for large-scale green ammonia production.展开更多
Biological classification is the foundation of biology and paleontology,as it arranges all the organisms in a hierarchy that humans can easily follow and understand.It is further used to reconstruct the evolution of l...Biological classification is the foundation of biology and paleontology,as it arranges all the organisms in a hierarchy that humans can easily follow and understand.It is further used to reconstruct the evolution of life.A biological classification system(BCS)that includes all the established fossil taxa would be both useful and challenging for uncovering the life history.Since fossil taxa were originally recorded in various published books and articles written by natural languages,the primary step is to organize all those taxa information in a manner that can be deciphered by a computer system.A Knowledge Graph(KG)is a formalized description framework of semantic knowledge,which represents and retrieves knowledge in a machine-understandable way,and therefore provides an eligible method to represent the BCS.In this paper,a model of the BCS KG including the ontology and fact layers is presented.To put it into practice,the ontology layer of the invertebrate fossil branches was manually developed,while the fact layer was automatically constructed by extracting information from 46 volumes of the Treatise of Invertebrate Paleontology series with the help of natural language processing technology.As a result,27348 taxa nodes spanning fourteen taxonomic ranks were extracted with high accuracy and high efficiency,and the invertebrate fossil branches of the BCS KG was thus installed.This study demonstrates that a properly designed KG model and its automatic construction with the help of natural language processing are reliable and efficient.展开更多
Clinical diagnosis for complex disease conditions is a complicated decision process involving systematic inference and differentiation.Artificial Intelligence(Al)models have been a widely established approach to help ...Clinical diagnosis for complex disease conditions is a complicated decision process involving systematic inference and differentiation.Artificial Intelligence(Al)models have been a widely established approach to help improve the efficiency of various kinds of clinical decision tasks(e.g.,diagnosis,treatment,and prognosis).However,due to the critical requirement of time efficiency,lack of sufficient information,and high probability of comorbid diseases in Outpatient and Emergency Settings(OES),it is still challenging to build clinically feasible Al models using the free text clinical records in OES for complex disease conditions,such as neurosurgery.Here we propose an Al diagnosis model,named LLM4DEU,for neurosurgery disease differentiations by fine-tuning a large language model(i.e.,ChatGLM)using the Department of Neurosurgery,the Beijing Tiantan Hospital OES electronic health records.LLM4DEU obtained state-of-the-art performance on clinical diagnosis with a F1 score of 78.53%,which is superior to five well-known baselines(including deep learning models).In addition,we evaluated the actual performance of the model by case studies on the diagnosis of specific neurosurgical diseases(e.g.,subdural hematoma,cerebral hemorrhage,and cerebral infarction).The experimental results show that the LLM4DEU model has significant advantages in diagnosing low-incidence disease conditions,and comparative analyses with clinical experts confirm the predictive power of the model in neurosurgical diagnosis.展开更多
Emotion-cause pair extraction(ECPE)aims to extract all the pairs of emotions and corresponding causes in a document.It generally contains three subtasks,emotions extraction,causes extraction,and causal relations detec...Emotion-cause pair extraction(ECPE)aims to extract all the pairs of emotions and corresponding causes in a document.It generally contains three subtasks,emotions extraction,causes extraction,and causal relations detection between emotions and causes.Existing works adopt pipelined approaches or multi-task learning to address the ECPE task.However,the pipelined approaches easily suffer from error propagation in real-world scenarios.Typical multi-task learning cannot optimize all tasks globally and may lead to suboptimal extraction results.To address these issues,we propose a novel framework,Pairwise Tagging Framework(PTF),tackling the complete emotion-cause pair extraction in one unified tagging task.Unlike prior works,PTF innovatively transforms all subtasks of ECPE,i.e.,emotions extraction,causes extraction,and causal relations detection between emotions and causes,into one unified clause-pair tagging task.Through this unified tagging task,we can optimize the ECPE task globally and extract more accurate emotion-cause pairs.To validate the feasibility and effectiveness of PTF,we design an end-to-end PTF-based neural network and conduct experiments on the ECPE benchmark dataset.The experimental results show that our method outperforms pipelined approaches significantly and typical multi-task learning approaches.展开更多
1 Introduction L exical semantic resource plays an important role in natural language processing.So far,many lexical semantic resources have been developed by the world-wide linguists,such as WordNet[1],ConceptNet[2]i...1 Introduction L exical semantic resource plays an important role in natural language processing.So far,many lexical semantic resources have been developed by the world-wide linguists,such as WordNet[1],ConceptNet[2]in English,HowNet[3],Chinese Concept Dictionary(CCD)[4],and Tongyici-Cilin(Cilin)[5]in Chinese,Diferent recourses usually have different focuses and structures,while some of them are also closely rclated and could be complementary to each other.As a result,the integration of several resources may be more useful than only using one of them for a certain purpose.展开更多
文摘Sleep is a biological phenomenon with highly conserved evolutionary characteristics.The American Academy of Sleep Medicine and the Sleep Research Society recommend that adults get at least 7 hours of sleep per night[1].However,the stress caused by fast-paced life often leads to sleep deprivation(SD).SD is strongly associated with damage to the auditory system[2,3].Obstructive sleep apnea-hypopnea syndrome(OSAHS)is a common sleep disorder.Clinical observations indicate that some patients with OSAHS experience persistent hearing loss accompanied by tinnitus and other symptoms[4].More than 61.8%of patients with sudden deafness experienced SD[5].
基金Science and Technology Achievements Transformation Project of the Autonomous Prefecture(Project No.:202401)National College Students'Innovation and Entrepreneurship Training Program(Project Title:"Li Zhiyun·Ku Li Chun"-Pioneer in Promoting National Geographic Brand,Project Number:202513561005).
文摘Korla fragrant pears are one of the“famous,excellent,and special”fruits in Xinjiang.They belong to the white pear variety in the genus Pyrus of the Rosaceae family.With a long-standing planting history and strong regional characteristics,they are mainly produced in southern Xinjiang.Due to unique natural conditions such as large temperature differences between day and night and sufficient sunlight,Korla fragrant pears have a crispy texture,a sweet but not cloying taste,and their flesh is delicate and juicy,with excellent quality.Korla fragrant pears contain a variety of bioactive substances,mainly including polysaccharides,polyphenolic compounds,flavonoid compounds,triterpenoids,and sterols.They have medical effects such as“moistening the lungs,calming the heart,reducing phlegm,anti-inflammation,relieving cough,and resolving carbuncle toxins”.Uyghur and Mongolian medicine often use them as a good dietary therapy product.Based on recent literature reports,this paper reviews the main chemical constituents and pharmacological effects of Korla fragrant pears,aiming to provide references for the research and utilization of the deep processing of Korla fragrant pears.
基金Science and Technology Achievements Transformation Project of the Autonomous Prefecture(Project No.:202401)National College Students'Innovation and Entrepreneurship Training Program(Project Title:"Li Zhiyun·Ku Li Chun"-Pioneer in Promoting National Geographic Brand,Project Number:202513561005).
文摘Pear paste is a traditional preparation with both medicinal and nutritional functions.The“pear”,as its core ingredient,plays a crucial role in the efficacy of the preparation.This paper,through the interdisciplinary integration of evidence from traditional Chinese medicine,food chemistry,molecular biology,and clinical medicine,constructs a complete“raw material-component transformation-biological regulation”model for the first time.It is found that in pear paste,pears not only serve as a functional matrix.The polysaccharide-polyphenol-triterpene complex system forms a multi-target cough-relieving and anti-inflammatory network through dual regulation of TRPV1/TRPA1 ion channels,inhibition of the NLRP3 inflammasome,and metabolites of gut microbiota such as SCFAs.The research results provide a theoretical breakthrough for the modern development of pear paste and a scientific basis for the modernization of traditional preparations.
文摘In order to better implement the“Three-Dimensional Education”and cultivate high-quality nursing talents,the integration of ideological and political education into the pathogen biology curriculum promotes curriculum reform and application.This article explores the use of various teaching methods and means in the teaching process of pathogen biology under the guidance of ideological and political education,aiming to stimulate students’learning interest,cultivate their autonomous learning ability,independent thinking,problem-analyzing and problem-solving abilities,and thus improve their comprehensive qualities and medical professional literacy.
基金supported by the National Natural Science Foundation of China(Nos.U24B20198,22308139,52071171,52202248)the Natural Science Foundation of Liaoning Province(2023-MS-140)+8 种基金the Key Research Project of Department of Education of Liaoning Province(LJKZZ20220015)the Australian Research Council(ARC)through Future Fellowship(FT210100298)Discovery Project(DP220100603)Linkage Project(LP210200504,LP220100088,LP230200897)the Industrial Transformation Research Hub(IH240100009)schemesthe Australian Government through the Cooperative Research Centres Projects(CRCPXIII000077)the Australian Renewable Energy Agency(ARENA)as part of ARENA’s Transformative Research Accelerating Commercialisation Program(TM021)European Commission’s Australia-Spain Network for Innovation and Research Excellence(AuSpire)the Foundation of State Key Laboratory of Clean and Efficient Coal Utilization,Taiyuan University of Technology(MJNYSKL202301)。
文摘Aqueous Zn-N_(2)batteries with unique configuration are of potential for simultaneous N_(2)electro reduction and electricity generation,in which the electrocatalysts are critical for improving the NH_(3)yield and the energy efficiency.Herein,a heterostructure Nb_(2)O_(5)/Nb_(2)CT_(x)with abundant exposed Nb active sites and tuned electron density has been synthesized by in situ formation and anchoring of Nb_(2)O_(5) nanoparticles on the surface of Nb_(2)CT_(x)MXene,which shows an enhanced N_(2)adsorption/activation capacity.The heterostructure Nb_(2)O_(5/)Nb_(2)CT_(x)was used as the cathode of Zn-N_(2)battery that can deliver a peak power density of 1.25 mW cm^(-2)in 1.0 M KOH and can continuously produce NH_(3)with a yield of3.62μg h^(-1)mg_(ca)^(t-1).The NH_(3)formed in the battery system can be easily collected as a net product without circulating the electrolyte.Moreover,the Nb_(2)O_(5/)Nb_(2)CT_(x)has a long durability,evidenced by 70 h of operation at-0.4 V vs.reversible hydrogen electrode,which is the highest among the MXene-based electrocatalysts reported thus far.This work may provide a new methodology based on Zn-N_(2)battery for sustainable and large-scale NH_(3)production with minimal energy consumption.
基金This work was supported by the National Natural Science Foundation of China(Nos.22308139,52071171,52202248)Natural Science Foundation of Liaoning Province(2023-MS-140)+11 种基金Liaoning BaiQianWan Talents Program(LNBQW2018B0048)Shenyang Science and Technology Project(21-108-9-04)Young Scientific and Technological Talents Project of the Department of Education of Liaoning Province(LQN202008)Key Research Project of Department of Education of Liaoning Province(LJKZZ20220015)Foundation of State Key Laboratory of Clean and Efficient Coal Utilization,Taiyuan University of Technology(MJNYSKL202301)Foundation of State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering(KF2023006)Anhui Province Key Laboratory of Coal Clean Conversion and High Valued Utilization,Anhui University of Technology(CHV22-05)Australian Research Council(ARC)through Future Fellowship(FT210100298,FT210100806)Discovery Project(DP220100603)Linkage Project(LP210100467,LP210200504,LP210200345,LP220100088)Industrial Transformation Training Centre(IC180100005)schemesthe Australian Government through the Cooperative Research Centres Projects(CRCPXIII000077).
文摘Renewable energy driven N_(2) electroreduction with air as nitrogen source holds great promise for realizing scalable green ammonia production.However,relevant out-lab research is still in its infancy.Herein,a novel Sn-based MXene/MAX hybrid with abundant Sn vacancies,Sn@Ti_(2)CTX/Ti_(2)SnC–V,was synthesized by controlled etching Sn@Ti_(2)SnC MAX phase and demonstrated as an efficient electrocatalyst for electrocatalytic N2 reduction.Due to the synergistic effect of MXene/MAX heterostructure,the existence of Sn vacancies and the highly dispersed Sn active sites,the obtained Sn@Ti2CTX/Ti_(2)SnC–V exhibits an optimal NH_(3) yield of 28.4μg h^(−1) mg_(cat)^(−1) with an excellent FE of 15.57% at−0.4 V versus reversible hydrogen electrode in 0.1 M Na_(2)SO_(4),as well as an ultra-long durability.Noticeably,this catalyst represents a satisfactory NH3 yield rate of 10.53μg h^(−1) mg^(−1) in the home-made simulation device,where commercial electrochemical photovoltaic cell was employed as power source,air and ultrapure water as feed stock.The as-proposed strategy represents great potential toward ammonia production in terms of financial cost according to the systematic technical economic analysis.This work is of significance for large-scale green ammonia production.
基金supported by the National Key R&D Program of China(No.2018YFE0204201)the National Natural Science Foundation of China(Nos.92255301,42302001)Jiangsu Innovation Support Plan for International Science and Technology Cooperation Programm(No.BZ2023068)。
文摘Biological classification is the foundation of biology and paleontology,as it arranges all the organisms in a hierarchy that humans can easily follow and understand.It is further used to reconstruct the evolution of life.A biological classification system(BCS)that includes all the established fossil taxa would be both useful and challenging for uncovering the life history.Since fossil taxa were originally recorded in various published books and articles written by natural languages,the primary step is to organize all those taxa information in a manner that can be deciphered by a computer system.A Knowledge Graph(KG)is a formalized description framework of semantic knowledge,which represents and retrieves knowledge in a machine-understandable way,and therefore provides an eligible method to represent the BCS.In this paper,a model of the BCS KG including the ontology and fact layers is presented.To put it into practice,the ontology layer of the invertebrate fossil branches was manually developed,while the fact layer was automatically constructed by extracting information from 46 volumes of the Treatise of Invertebrate Paleontology series with the help of natural language processing technology.As a result,27348 taxa nodes spanning fourteen taxonomic ranks were extracted with high accuracy and high efficiency,and the invertebrate fossil branches of the BCS KG was thus installed.This study demonstrates that a properly designed KG model and its automatic construction with the help of natural language processing are reliable and efficient.
基金supported by the National Natural Science Foundation of China(Nos.72004147,82204941,and U23B2062)the National Key Researchand Development Program(No.2023YFC3502604)the Natural Science Foundation of Beijing(No.L232033).
文摘Clinical diagnosis for complex disease conditions is a complicated decision process involving systematic inference and differentiation.Artificial Intelligence(Al)models have been a widely established approach to help improve the efficiency of various kinds of clinical decision tasks(e.g.,diagnosis,treatment,and prognosis).However,due to the critical requirement of time efficiency,lack of sufficient information,and high probability of comorbid diseases in Outpatient and Emergency Settings(OES),it is still challenging to build clinically feasible Al models using the free text clinical records in OES for complex disease conditions,such as neurosurgery.Here we propose an Al diagnosis model,named LLM4DEU,for neurosurgery disease differentiations by fine-tuning a large language model(i.e.,ChatGLM)using the Department of Neurosurgery,the Beijing Tiantan Hospital OES electronic health records.LLM4DEU obtained state-of-the-art performance on clinical diagnosis with a F1 score of 78.53%,which is superior to five well-known baselines(including deep learning models).In addition,we evaluated the actual performance of the model by case studies on the diagnosis of specific neurosurgical diseases(e.g.,subdural hematoma,cerebral hemorrhage,and cerebral infarction).The experimental results show that the LLM4DEU model has significant advantages in diagnosing low-incidence disease conditions,and comparative analyses with clinical experts confirm the predictive power of the model in neurosurgical diagnosis.
基金supported by the National Natural Science Foundation of China(NSFC)(Grant Nos.61976114 and 61936012)the National Key R&D Program of China(2018YFB1005102).
文摘Emotion-cause pair extraction(ECPE)aims to extract all the pairs of emotions and corresponding causes in a document.It generally contains three subtasks,emotions extraction,causes extraction,and causal relations detection between emotions and causes.Existing works adopt pipelined approaches or multi-task learning to address the ECPE task.However,the pipelined approaches easily suffer from error propagation in real-world scenarios.Typical multi-task learning cannot optimize all tasks globally and may lead to suboptimal extraction results.To address these issues,we propose a novel framework,Pairwise Tagging Framework(PTF),tackling the complete emotion-cause pair extraction in one unified tagging task.Unlike prior works,PTF innovatively transforms all subtasks of ECPE,i.e.,emotions extraction,causes extraction,and causal relations detection between emotions and causes,into one unified clause-pair tagging task.Through this unified tagging task,we can optimize the ECPE task globally and extract more accurate emotion-cause pairs.To validate the feasibility and effectiveness of PTF,we design an end-to-end PTF-based neural network and conduct experiments on the ECPE benchmark dataset.The experimental results show that our method outperforms pipelined approaches significantly and typical multi-task learning approaches.
基金This work was supported by the National Natural Science Foundation of China(Grant Nos.U1836221,61772261)the Jiangsu Provincial Research Foundation for Basic Research(BK20170074).
文摘1 Introduction L exical semantic resource plays an important role in natural language processing.So far,many lexical semantic resources have been developed by the world-wide linguists,such as WordNet[1],ConceptNet[2]in English,HowNet[3],Chinese Concept Dictionary(CCD)[4],and Tongyici-Cilin(Cilin)[5]in Chinese,Diferent recourses usually have different focuses and structures,while some of them are also closely rclated and could be complementary to each other.As a result,the integration of several resources may be more useful than only using one of them for a certain purpose.
